Triple

T12532265
Position Surface form Disambiguated ID Type / Status
Subject Evergreen Memorial Cemetery E299598 entity
Predicate hasNotableBurial P196 FINISHED
Object John McNulta
John McNulta was a 19th-century American lawyer, Civil War officer, and U.S. Representative from Illinois.
 E1049605 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John McNulta | Statement: [Evergreen Memorial Cemetery, hasNotableBurial, John McNulta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John McNulta
Context triple: [Evergreen Memorial Cemetery, hasNotableBurial, John McNulta]
  • A. Tony McNulty
    Tony McNulty is a British Labour politician who served as Member of Parliament and held ministerial roles including Minister of State for Security, Counter-Terrorism, Crime and Policing.
  • B. Dennis McNulty
    Dennis McNulty is a designer known for his work on the wooden roller coaster Shivering Timbers.
  • C. John McCloskey
    John McCloskey was a 19th-century American Catholic prelate who became the first U.S. cardinal and a prominent Archbishop of New York.
  • D. John Nugent
    John Nugent is a jazz musician and impresario best known as the co-founder and artistic director of the Rochester International Jazz Festival.
  • E. Michael Maloney
    Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John McNulta
Triple: [Evergreen Memorial Cemetery, hasNotableBurial, John McNulta]
Generated description
John McNulta was a 19th-century American lawyer, Civil War officer, and U.S. Representative from Illinois.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John McNulta
Target entity description: John McNulta was a 19th-century American lawyer, Civil War officer, and U.S. Representative from Illinois.
  • A. Tony McNulty
    Tony McNulty is a British Labour politician who served as Member of Parliament and held ministerial roles including Minister of State for Security, Counter-Terrorism, Crime and Policing.
  • B. Dennis McNulty
    Dennis McNulty is a designer known for his work on the wooden roller coaster Shivering Timbers.
  • C. John McCloskey
    John McCloskey was a 19th-century American Catholic prelate who became the first U.S. cardinal and a prominent Archbishop of New York.
  • D. John Nugent
    John Nugent is a jazz musician and impresario best known as the co-founder and artistic director of the Rochester International Jazz Festival.
  • E. Michael Maloney
    Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546b8fd48190ae90e80785b2e2d1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b9383088190a0194cd0e666d11c completed May 3, 2026, 3:36 p.m.
NEDg Description generation batch_69f7763fc23c819098d46ab0906b8764 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f779178dc48190bb0de790de30d8b0 completed May 3, 2026, 4:34 p.m.
Created at: April 8, 2026, 9:57 p.m.